Journal: International Journal on Digital Libraries

Abbreviation

Publisher

Springer

Journal Volumes

ISSN

1432-5012
1432-1300

Description

Filters

2016 - 201912020 - 20211
Reset filters

Search Results

Publications 1 - 2 of 2
  • Using a file history graph to keep track of personal resources across devices and services
    Item type: Journal Article
    Geel, Matthias; Norrie, Moira C. (2016)
    International Journal on Digital Libraries
    Personal digital resources now tend to be stored, managed and shared using a variety of devices and online services. As a result, different versions of resources are often stored in different places, and it has become increasingly difficult for users to keep track of them. We introduce the concept of a file history graph that can be used to provide users with a global view of resource provenance and enable them to track specific versions across devices and services. We describe how this has been used to realise a version-aware environment, called Memsy, and report on a lab study used to evaluate the proposed workflow. We also describe how reconciliation services can be used to fill in missing links in the file history graph and present a detailed study for the case of images as a proof of concept.
  • A user-transaction-based recommendation strategy for an educational digital library
    Item type: Journal Article
    Kortemeyer, Gerd; Droschler, Stefan (2021)
    International Journal on Digital Libraries
    The automated recommendation of content resources to learners is one of the most promising functions of educational digital libraries. Underlying strategies should take the individual progress of the learner into account to provide appropriate recommendations that are meaningful to the learner. If presented with appropriate assistance, learners will more likely engage in productive learning strategies, such as reading up on concepts and accessing preparatory materials, and refrain from unproductive behavior, such as guessing on or copying of homework. In this exploratory case study, we are analyzing transactional data within an educational digital library of online physics homework problems and learning content. The sequence of events starting with a learner failing to solve a particular problem, interacting with other online resources, and then succeeding on that same problem is used to identify potentially helpful resources for future learners. It was found that these "success stories" indeed allow for providing recommendations with acceptable accuracy, which, when implemented, may lead to more productive learning paths.
Publications 1 - 2 of 2